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» Learning consumer preferences using semantic similarity
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VIP
2003
13 years 6 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
ANLP
2000
87views more  ANLP 2000»
13 years 6 months ago
Using Semantic Preferences to Identify Verbal Participation in Role Switching Alternations
We propose a method for identifying diathesis alternations where a particular argument type is seen in slots which have different grammatical roles in the alternating forms. The m...
Diana McCarthy
WWW
2006
ACM
13 years 11 months ago
Using proportional transportation similarity with learned element semantics for XML document clustering
This paper proposes a novel approach to measuring XML document similarity by taking into account the semantics between XML elements. The motivation of the proposed approach is to ...
Xiaojun Wan, Jianwu Yang
ECRA
2010
145views more  ECRA 2010»
13 years 5 months ago
Inferring preference correlations from social networks
Identifying consumer preferences is a key challenge in customizing electronic commerce sites to individual users. The increasing availability of online social networks provides on...
Tad Hogg